Feature subset selection presents a common challenge for the applications where data with tens or hundreds of features are available. Existing feature selection algorithms are mai...
With the growing number of marketplaces and trading partners in the e–commerce environment, software tools designed to act on behalf of human traders are increasingly used to au...
Yain-Whar Si, David Edmond, Arthur H. M. ter Hofst...
In the research of software reuse, feature models have been widely adopted to organize the requirements of a set of applications in a software domain. However, there still lacks a...
Bo Wang, Wei Zhang, Haiyan Zhao, Zhi Jin, Hong Mei
The Transferable Belief Model is a powerful interpretation of belief function theory where decision making is based on the pignistic transform. Smets has proposed a generalization ...
An approach to instructional design is described which avoids some of the problems traditionally associated with process design models, sometimes referred to as waterfall models. ...